By Condition

National trends, provincial comparisons & district hotspots per condition

NoteDevelopment Roadmap — By Condition

Phase	Feature	Status
v0.1	Weekly national epicurve stacked by province (interactive)	✅ Done
v0.1	Provincial incidence trend lines	✅ Done
v0.1	District hotspot table (last 30 days) with export	✅ Done
v0.2	Condition-specific summary cards (key metrics)	🔲 Planned
v0.2	Animated epi-curve (gganimate / plotly animation)	🔲 Planned
v0.3	Leaflet hotspot map — district-level choropleth	🔲 Planned
v0.3	Province comparison heatmap (condition × province)	🔲 Planned
v0.4	Age/sex breakdown where demographic data available	🔲 Planned
v0.5	EpiNow2 Rt ribbon per condition fed from agg_national.rds	🔲 Planned

Data pipeline: R/prepare_dashboard_data.r → data/processed/agg_province.rds, agg_district.rds

Filter

Select Condition

Province (optional)

---

Epidemic Curves

Weekly Cases by Province

Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Figure 1: Weekly case counts stacked by province — use the filter above to select a condition

Provincial Incidence Trends

Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors
Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
Returning the palette you asked for with that many colors

Figure 2: Weekly incidence per 100 000 by province

---

District Hotspots — Last 30 Days

Condition

Table 1

---

TipRelated Sections

• By Province — province-first view with district drilldown
• Trending & Signals — signal detection for emerging conditions
• Burden of Disease — YLL, DALYs & age-standardised rates
• Forecasts — short-term predictive models
• Explorer — custom data queries and downloads
• Methods — indicator definitions and data sources